Dense correspondence across semantically related images has been extensively studied, but still faces two challenges: 1) large variations in appearance, scale and pose exist even for objects from the same category, 2) labeling pixel-level dense correspondences is labor intensive infeasible to scale. Most existing methods focus on designing various matching modules using fully-supervised ImageNe...

Semantic relations in knowledge representation characterizes the association between concepts of a domain. Concepts are units and relationships that link these units, which gives meaning to as represented. In this way, semantic allow users assimilate purpose presentational context, avoiding misinterpretation information, mainly presented instruments representation.The objective paper is propose...

Semantic Representation 2 This chapter deals with how word meaning is represented by speakers of a language, reviewing psychological perspectives on the representation of meaning. We start by outlining four key issues in the investigation of word meaning, then we introduce current theories of semantics and we end with a brief discussion of new directions. Meaning representation has long interes...

In recent years, there has been renewed interest in the NLP community in genuine language understanding and dialogue. Thus the long-standing issue of how the semantic content of language should be represented is reentering the communal discussion. This paper provides a brief “opinionated survey” of broadcoverage semantic representation (SR). It suggests multiple desiderata for such representati...